Papers with Tool-augmented Language Models
From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models (2026.acl-long)
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| Challenge: | Tool-augmented Language Models can invoke external tools to solve problems beyond their parametric capacity. |
| Approach: | They propose a preference-optimization-based framework that realigns TaLMs to use tool outputs as assistive evidence. |
| Outcome: | The proposed framework improves accuracy and reasoning depth under tool use. |